Tselil Schramm
Assistant Professor, Stanford University
Tselil is an Assistant Professor of Statistics at Stanford University. Her research is in the theory of algorithms, optimization, and computational complexity, especially for problems arising in statistics.
Program Visits
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Scientist, Program Organizer and Workshop Organizer.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Microsoft Research Fellow.
- Bridging Continuous and Discrete Optimization, Fall 2017. Google Research Fellow.
- Foundations of Machine Learning, Spring 2017. Visiting Graduate Student.
- Algorithms and Uncertainty, Fall 2016. Visiting Graduate Student.
- Counting Complexity and Phase Transitions, Spring 2016. Visiting Graduate Student.
- Algorithmic Spectral Graph Theory, Fall 2014. Visiting Graduate Student.
